Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

The screening of advanced materials coupled with the modeling of their quantitative
structural-activity relationships has recently become one of the hot and trending topics in …

The execution and analysis of complex experiments are challenged by the vast
dimensionality of the underlying parameter spaces. Although an increase in data-acquisition …

Accelerator physics relies on numerical algorithms to solve optimization problems in online
accelerator control and tasks such as experimental design and model calibration in …

The directed self-assembly (DSA) of block copolymers (BCPs) is a powerful approach to
fabricate complex nanostructure arrays, but finding morphologies that emerge with changes …

Refractory high entropy alloys (RHEAs) have gained significant attention in recent years as
potential replacements for Ni-based superalloys in gas turbine applications. Improving their …

Additive manufacturing (AM), especially Laser Powder-Bed Fusion (L-PBF), provides alloys
with unique properties, but faces printability challenges like porosity and cracks. To address …

Structural characterization of polymer materials is a major step in the process of creating
complex materials design-structural-property relationships. With growing interests in artificial …

The unparalleled success of artificial intelligence (AI) in the technology sector has catalyzed
an enormous amount of research in the scientific community. It has proven to be a powerful …

We present a simulation of various active learning strategies for the discovery of polymer
solar cell donor/acceptor pairs using data extracted from the literature spanning∼ 20 years …